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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Low-Resource Response Generation with Template Prior EMNLP 2019
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification EMNLP 2019
A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019
Talking Face Generation by Conditional Recurrent Adversarial Network IJCAI 2019
Theoretical evidence for adversarial robustness through randomization NIPS 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations ICCV 2019
MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019
Face-Focused Cross-Stream Network for Deception Detection in Videos CVPR 2019
G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors ACML 2019
Additive Adversarial Learning for Unbiased Authentication CVPR 2019
Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019
Implicit Generation and Modeling with Energy Based Models NIPS 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data NIPS 2019
Exponential Family Estimation via Adversarial Dynamics Embedding NIPS 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation NIPS 2019
Accurate, reliable and fast robustness evaluation NIPS 2019
Cross-Domain Transferability of Adversarial Perturbations NIPS 2019
Are Generative Classifiers More Robust to Adversarial Attacks? ICML 2019
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ICML 2019
Controlling Neural Level Sets NIPS 2019
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks NIPS 2019
Data Poisoning Attacks on Stochastic Bandits ICML 2019
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data IJCAI 2019
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism IJCAI 2019